Universal AIML,Cloud and Blockchain Powered Firewall

In today’s digital world, cyberattacks have become faster, more complex, and more frequent. Traditional security systems often suffer from slow response times, and in many cases, security logs can be easily modified or deleted, reducing trust during investigations. Additionally, many existing solutions create vendor lock-in, limiting user control over their own data and infrastructure.

This project was inspired by a simple but powerful question:

“Can we build a security system that is fast, transparent, and completely under the user’s control?”

Artificial Intelligence and Machine Learning provide powerful capabilities for real-time threat detection, while blockchain technology offers a reliable way to create tamper-proof security logs. By combining these technologies, the idea of a next-generation cybersecurity platform was formed. This project is a real-time, AI-powered, fully self-hosted security system designed to provide multi-layer protection across different digital environments, including:

🌐 Websites

🔌 APIs ☁️ Cloud Infrastructure 📡 IoT Devices The system continuously analyzes live traffic, detects and blocks attacks within milliseconds, and permanently records every security event on the blockchain to ensure transparency and integrity.

⚡ Real-Time AI Threat Detection

Uses AI and Machine Learning models to analyze incoming traffic in real time Detects and blocks suspicious behavior with ≤ 50 ms latency Capable of identifying both known attacks and unknown (zero-day) threats 𝑃 ( Attack ∣ Traffic )

𝜃 ⇒ Request Blocked P(Attack∣Traffic)>θ⇒Request Blocked

All security logs are stored in an immutable blockchain-based system. Logs cannot be modified or deleted. Highly reliable for digital forensics and security audits. Complete control over data and infrastructure. No vendor lock-in. Fully customizable detection rules, AI models, and security layers. Real-time dashboard showing live attacks. Displays attack type, severity level, source IP, and timestamp. Instant Telegram alerts for critical threats to enable quick response. Web application protection. API security. Cloud workload protection. IoT device monitoring. The system follows a modular and scalable architecture, consisting of the following components:

1. Traffic Monitoring Layer Collects incoming traffic from websites, APIs, IoT devices, and cloud services

2. AI/ML Detection Engine Uses trained Machine Learning models for real-time inference Combines anomaly-based and signature-based detection techniques

3. Blockchain Logging Layer Generates cryptographic hashes of security events Stores logs on-chain to ensure immutability

4. Dashboard & Alert System Live user interface for monitoring attacks Telegram bot integration for instant alerts

Built With

• .
• and
• database:
• ethereum
• frontend:-react.js-and-tailwind-css
• typescript.-backend:-node.js-(blockchain)-and-python-(django).-ai/ml:-tensorflow-and-pytorch-(python).-blockchain:-solidity
• web3.js